Fuzzy analytic hierarchy process with interval type-2 fuzzy sets

被引：320

作者：

Kahraman, Cengiz ^{[1
]}

Oztaysi, Basar ^{[1
]}

Sari, Irem Ucal ^{[1
]}

Turanoglu, Ebru ^{[2
]}

机构：

[1] Istanbul Tech Univ, Dept Ind Engn, TR-34367 Istanbul, Turkey

[2] Izmir Univ, Dept Ind Engn, TR-35350 Izmir, Turkey

来源：

KNOWLEDGE-BASED SYSTEMS | 2014年 / 59卷

关键词：

Type-2 fuzzy sets; Fuzzy AHP; Fuzzy numbers; Multicriteria; Uncertainty; DECISION-MAKING; SELECTION; SYSTEMS;

D O I：

10.1016/j.knosys.2014.02.001

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The membership functions of type-1 fuzzy sets have no uncertainty associated with it. While excessive arithmetic operations are needed with type-2 fuzzy sets with respect to type-1's, type-2 fuzzy sets generalize type-1 fuzzy sets and systems so that more uncertainty for defining membership functions can be handled. A type-2 fuzzy set lets us incorporate the uncertainty of membership functions into the fuzzy set theory. Some fuzzy multicriteria methods have recently been extended by using type-2 fuzzy sets. Analytic Hierarchy Process (AHP) is a widely used multicriteria method that can take into account various and conflicting criteria at the same time. Our objective is to develop an interval type-2 fuzzy AHP method together with a new ranking method for type-2 fuzzy sets. We apply the proposed method to a supplier selection problem. (C) 2014 Elsevier B.V. All rights reserved.

引用

页码：48 / 57

页数：10

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